Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks

• URL: http://arxiv.org/abs/2203.12906v1
• Date: Thu, 24 Mar 2022 07:50:25 GMT
• Title: Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks
• Authors: Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Tam\'as Gr\'osz, Krister Lind\'en and Mikko Kurimo
• Abstract summary: The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech. The primary goals of the collection were to create a representative, large-scale resource to study spontaneous spoken Finnish and to accelerate the development of language technology and speech-based services. We present the collection process and the collected corpus, and showcase its versatility through multiple use cases.
• Score: 9.160401226886947
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the regions of Finland and from all age brackets. The primary goals of the collection were to create a representative, large-scale resource to study spontaneous spoken Finnish and to accelerate the development of language technology and speech-based services. In this paper, we present the collection process and the collected corpus, and showcase its versatility through multiple use cases. The evaluated use cases include: automatic speech recognition of spontaneous speech, detection of age, gender, dialect and topic and metadata analysis. We provide benchmarks for the use cases, as well down loadable, trained baseline systems with open-source code for reproducibility. One further use case is to verify the metadata and transcripts given in this corpus itself, and to suggest artificial metadata and transcripts for the part of the corpus where it is missing.

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